One studio, three harvests: products we own and operate, AI we build into other businesses, and models trained for a single job done well.
Products
Four products designed, engineered and operated by Naxas — each with its own brand, its own users, and the same production standard.
What we build
Native iOS, Android and web products — designed, engineered, launched and operated.
Assistants, copilots and search built into products, with real context and guardrails.
Models fine-tuned or distilled for a specific task — smaller, cheaper and more accurate.
Agents that read data, take actions and keep people in control of decisions that matter.
Model training
General models are a starting point. We fine-tune, distill and evaluate models against your task, your data and your cost targets — then run them in production.
Define the single task the model must do and how we will know it does it well.
What we do
task_spec.md · success_metrics · baseline_score
Build a clean, consented dataset that represents the real work.
What we do
train.jsonl · eval.jsonl · data_card.md
Fine-tune or distill a model sized for the job and the budget.
What we do
model_weights · training_log · experiment_report
Prove the model beats the baseline — and find where it fails.
What we do
eval_report · failure_cases · go/no-go
Serve the model in production and keep it improving.
What we do
endpoint · dashboards · retrain_schedule
How we work
